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MistarlingMaid 2x7B Base by dawn17

By dawn17 · 52 downloads

MistarlingMaid 2x7B Base is an open-source language model by dawn17. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.13, Arc: 67.5, HellaSwag: 84.8, MMLU: 62.6, GSM8K: 56.

  Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

MistarlingMaid 2x7B Base Parameters and Internals

LLM NameMistarlingMaid 2x7B Base
Repository πŸ€—https://huggingface.co/dawn17/MistarlingMaid-2x7B-base 
Model Size12.9b
Required VRAM25.8 GB
Updated2026-08-01
Maintainerdawn17
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dawn17/MistarlingMaid-2x7B-base.